Splicing of Multi-View Point Clouds Based on Calibrated Parameters of Turntable

被引：0
|
作者：
Lang W. [1 ]
Xue J. [1 ,2 ]
Li C. [1 ]
Zhang Q. [1 ]
机构：
[1] College of Electronics and Information Engineering, Sichuan University, Chengdu, 610065, Sichuan
[2] School of Aeronautics and Astronautics, Sichuan University, Chengdu, 610065, Sichuan
来源：
Zhongguo Jiguang/Chinese Journal of Lasers | 2019年 / 46卷 / 11期
关键词：
Coordinate transformation; Measurement; Multi-view measurement; Point-cloud splicing; Turntable;
D O I：
10.3788/CJL201946.1104003
中图分类号：
学科分类号：
摘要：
To conveniently, quickly, and accurately obtain three-dimensional (3D) point clouds of a complete surface, this study proposes a coarse splicing method of multi-view point clouds based on the calibrated parameters of a turntable. The proposed method uses a two-dimensional calibration target as the switching hub of coordinate systems. A nonlinear model including the turntable rotating angle and different measuring coordinate systems is established by exclusively using the coordinate system's relationship at two positions. Coarse registration of 3D point clouds under multiple measurement angles provides a good initial value for the iterative closest point (ICP) algorithm and increases the robustness of the ICP algorithm. Experimental results show that the operation of this method is convenient, fast, and easy to implement. Additionally, the obtained splicing error of point clouds is less than 0.12 mm. © 2019, Chinese Lasers Press. All right reserved.
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